Fort Payne Micro Area Historical Type of Heating Fuel in a House Data
ACS 2008-2012 data
| Fort Payne Area | Alabama | U.S. |
Total Housing Units | 25,550, 100% | 1,837,576 | 115,226,802 |
Utility Gas | 2,484, 9.72%, see rank | 30.54% | 49.42% |
Bottled, Tank, or LP Gas | 5,902, 23.10%, see rank | 8.07% | 5.03% |
Electricity | 16,173, 63.30%, see rank | 59.62% | 35.51% |
Fuel Oil, Kerosene, etc. | 118, 0.46%, see rank | 0.25% | 6.46% |
Coal or Coke | 0, 0.00%, see rank | 0.01% | 0.12% |
Wood | 814, 3.19%, see rank | 1.18% | 2.08% |
Solar Energy | 0, 0.00%, see rank | 0.00% | 0.04% |
Other Fuel | 22, 0.09%, see rank | 0.08% | 0.43% |
No Fuel Used | 37, 0.14%, see rank | 0.23% | 0.90% |
ACS 2006-2010 data
| Fort Payne Area | Alabama | U.S. |
Total Housing Units | 25,937, 100% | 1,821,210 | 114,235,996 |
Utility Gas | 2,978, 11.48%, see rank | 32.56% | 49.91% |
Bottled, Tank, or LP Gas | 6,940, 26.76%, see rank | 9.21% | 5.38% |
Electricity | 14,907, 57.47%, see rank | 56.48% | 34.20% |
Fuel Oil, Kerosene, etc. | 213, 0.82%, see rank | 0.29% | 7.07% |
Coal or Coke | 21, 0.08%, see rank | 0.01% | 0.12% |
Wood | 824, 3.18%, see rank | 1.13% | 1.97% |
Solar Energy | 2, 0.01%, see rank | 0.01% | 0.03% |
Other Fuel | 19, 0.07%, see rank | 0.08% | 0.42% |
No Fuel Used | 33, 0.13%, see rank | 0.23% | 0.90% |
ACS 2005-2009 data
| Fort Payne Area | Alabama | U.S. |
Total Housing Units | 24,999, 100% | 1,819,441 | 112,611,029 |
Utility Gas | 2,983, 11.93%, see rank | 33.75% | 50.14% |
Bottled, Tank, or LP Gas | 7,870, 31.48%, see rank | 9.93% | 5.58% |
Electricity | 13,029, 52.12%, see rank | 54.56% | 33.56% |
Fuel Oil, Kerosene, etc. | 276, 1.10%, see rank | 0.31% | 7.38% |
Coal or Coke | 19, 0.08%, see rank | 0.02% | 0.12% |
Wood | 766, 3.06%, see rank | 1.09% | 1.89% |
Solar Energy | 2, 0.01%, see rank | 0.01% | 0.03% |
Other Fuel | 14, 0.06%, see rank | 0.07% | 0.42% |
No Fuel Used | 40, 0.16%, see rank | 0.25% | 0.88% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.